Simple Summary Gastrointestinal cancers cause over 2.8 million deaths annually
worldwide. Currently, the diagnosis of various gastrointestinal cancer mainly relies on …

CNNs and other deep learners are now state-of-the-art in medical imaging research.
However, the small sample size of many medical data sets dampens performance and …

Objectives Gastroesophageal reflux disease (GERD) is a complex disease with a high
worldwide prevalence. The Los Angeles classification (LA-grade) system is meaningful for …

BACKGROUND: A timely diagnosis of early gastric cancer (EGC) can greatly reduce the
death rate of patients. However, the manual detection of EGC is a costly and low-accuracy …

Gastric cancer is one of the common malignant tumors in the gastrointestinal tract, and
surgery is currently an important treatment for progressive gastric cancer. With the …

Artificial intelligence (AI) has revolutionized diagnosis and treatment in various medical
fields, including gastroenterology. This narrative study examines how AI-driven …

In order to detect early stomach malignancies, upper GI endoscopy is commonly used. An
object detection model, a form of deep learning, was projected as a means of automating the …

Oesophageal, stomach, colon, and rectal cancers are all types of gastrointestinal
malignancies. Gastrointestinal malignancies are responsible for around 20% of all cancer …

Today, artificial intelligence is considered a powerful tool that can help physicians identify
and diagnose and predict diseases. Gastric cancer has been the fourth most common …

Zusammenfassung Hintergrund Mit zunehmendem technologischem Fortschritt im
Operationssaal hat auch die Anwendung von künstlicher Intelligenz (KI) auf die minimal …